Austin, TX, United States of America

Kaustubh Anilkumar Vibhute

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kaustubh Anilkumar Vibhute. Retrieved from https://idiyas.com/inventor/kaustubh-anilkumar-vibhute

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Innovations by Kaustubh Anilkumar Vibhute

Introduction

Kaustubh Anilkumar Vibhute is an accomplished inventor based in Austin, TX (US). He has made significant contributions to the field of automation through his innovative patent. His work focuses on enhancing the capabilities of network-connected computing devices.

Latest Patents

Kaustubh holds a patent titled "Local device embeddings for automation." This patent describes devices and techniques for local device embeddings that facilitate automation. The invention involves determining first data representing state change data for network-connected devices. This data is input into a machine learning model, which generates embedding data that combines first and second data. The second data represents historical state change data for the devices. The first embedding data can be stored in memory, allowing a network-connected device to perform actions based on this data. Kaustubh has 1 patent to his name.

Career Highlights

Kaustubh is currently employed at Amazon Technologies, Inc., where he continues to innovate and develop new technologies. His work at Amazon has allowed him to explore various aspects of automation and machine learning.

Collaborations

Kaustubh collaborates with Sven Eberhardt, contributing to advancements in their field through teamwork and shared expertise.

Conclusion

Kaustubh Anilkumar Vibhute is a notable inventor whose work in automation and machine learning is paving the way for future innovations. His contributions are significant in enhancing the functionality of network-connected devices.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…